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Fifth Order
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Quantitative analysis · Fifth Order

Backtest Reliability

Models translate trading instructions into executable backtests, where small implementation choices can materially change the result. Evaluation checks the resulting output against the specified calculation, focusing on reliable rule interpretation and numerical agreement rather than persuasive explanations. Lower error is better. Bars use a nine-decade logarithmic scale so small errors and very large deviations remain visible together without flattening the cohort.

Model results

13 configurations
RankModelScore
  1. 1
    AlibabaQwen3 Max
    10.00
  2. 2
    AmazonNova Premier
    17.78
  3. 3
    DeepSeekDeepSeek-V3.2
    31.62
  4. 4
    xAIGrok 4
    56.23
  5. 5
    NVIDIALlama 3.1 Nemotron Ultra
    1,000.00
  6. 6
    AnthropicClaude Sonnet 4.5
    1,778.28
  7. 7
    OpenAIGPT-5.2
    3,162.28
  8. 8
    MetaLlama 4 Maverick
    56,234.13
  9. 9
    AnthropicClaude Opus 4.5
    100,000.00
  10. 10
    GoogleGemini 3 Pro Preview
    177,827.94
  11. 11
    MistralMistral Large
    3,162,277.66
  12. 12
    CohereCommand A
    5,623,413.25
  13. 13
    OpenAIGPT-5.1 Codex Max
    10,000,000.00
Numeric table · 13 configurations
Error · lowest first
RankModel / settingScore
1
AlibabaQwen3 Max
10.00
2
AmazonNova Premier
17.78
3
DeepSeekDeepSeek-V3.2
31.62
4
xAIGrok 4
56.23
5
NVIDIALlama 3.1 Nemotron Ultra
1,000.00
6
AnthropicClaude Sonnet 4.5
1,778.28
7
OpenAIGPT-5.2
3,162.28
8
MetaLlama 4 Maverick
56,234.13
9
AnthropicClaude Opus 4.5
100,000.00
10
GoogleGemini 3 Pro Preview
177,827.94
11
MistralMistral Large
3,162,277.66
12
CohereCommand A
5,623,413.25
13
OpenAIGPT-5.1 Codex Max
10,000,000.00
Methodology

Error measures deviation from the reference calculation. Lower values rank first. The chart uses a nine-decade logarithmic scale to keep large deviations visible.